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Introduction:

Video surveillance is a critical component of security systems in various applications such as traffic monitoring, crowd control, and law enforcement. Object tracking in video surveillance plays a crucial role in identifying and monitoring objects of interest in video streams. The ability to track objects in real-time can enhance situational awareness and improve the overall security measures in place.

Chapter 1: Introduction

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review

2.1 Overview of Object Tracking in Video Surveillance
2.2 Historical Development of Object Tracking Technologies
2.3 Types of Object Tracking Algorithms
2.4 Challenges in Object Tracking in Video Surveillance
2.5 Applications of Object Tracking in Video Surveillance
2.6 Comparison of Object Tracking Techniques
2.7 Evaluation Metrics for Object Tracking
2.8 Advances in Object Tracking Technologies
2.9 Future Trends in Object Tracking in Video Surveillance

Chapter 3: Research Methodology

3.1 Research Design
3.2 Data Collection Methods
3.3 Object Tracking Algorithm Selection
3.4 Data Preprocessing Techniques
3.5 Performance Evaluation Metrics
3.6 Experimental Setup
3.7 Data Analysis Techniques
3.8 Ethical Considerations

Chapter 4: Discussion of Findings

4.1 Performance Evaluation Results
4.2 Comparison of Object Tracking Algorithms
4.3 Impact of Data Preprocessing Techniques
4.4 Limitations of the Study
4.5 Recommendations for Future Research
4.6 Practical Implications of the Study
4.7 Challenges Faced in Implementation
4.8 Lessons Learned from the Study

Chapter 5: Conclusion and Summary

In conclusion, this thesis on Object Tracking in Video Surveillance aims to provide valuable insights into the current state of object tracking technologies in video surveillance systems. By conducting a comprehensive literature review, exploring various research methodologies, and analyzing the findings, this study contributes to the advancement of object tracking techniques for enhanced security measures. The significance of this study lies in its potential to improve the accuracy and efficiency of object tracking systems, ultimately leading to better surveillance outcomes.

Overall, this thesis serves as a foundation for future research in the field of object tracking in video surveillance, and it is hoped that the findings and recommendations presented will guide further advancements in this area for the benefit of society as a whole.

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